Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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First name(s):	S.
Last name(s):	Ananiadou

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Yang, K, Zhang, T. and Ananiadou, S., A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, pages 2917–2927, 2023

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Liu, B, Schlegel, V., Batista-Navarro, R. and Ananiadou, S., Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pages 10846–10858, 2023

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Goldsack, T., Luo, Z., Xie, Q., Scarton, C., Shardlow, M., Ananiadou, S. and Lin, C., BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles, in: Proceedings of BioNLP 2023, pages 468–477, 2023

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Luo, Z., Xie, Q. and Ananiadou, S., CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization, in: Proceedings of the ACM Web Conference, pages 1843–1852, 2023

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Miwa, M. and Ananiadou, S., DISTANT: Distantly Supervised Entity Span Detection and Classification, in: Proceedings of BioNLP 2023, pages 171–177, 2023

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Liu, B, Schlegel, V., Batista-Navarro, R. and Ananiadou, S., Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature, in: Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023, 2023

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Cao, J., Peek, N., Renehan, A. G and Ananiadou, S., Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection, in: Proceedings of BioNLP 2023, pages 26–36, 2023

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Min, E. and Ananiadou, S., PESTO: A Post-User Fusion Network for Rumour Detection on Social Media, in: Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 1-10, 2023

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Zhang, T., Yang, K and Ananiadou, S., Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media, in: Proceedings of BioNLP 2023, pages 114–126, 2023

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Nguyen, N. T. H., Miwa, M. and Ananiadou, S., Span-based Named Entity Recognition by Generating and Compressing Information, in: Proceedings of EACL 2023, pages 1984–1996, 2023

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Yang, K, Ji, S., Zhang, T., Xie, Q., Kuang, Z. and Ananiadou, S., Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, pages 6056–6077, 2023

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Yuan, C., Xie, Q. and Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, pages 92–102, 2023

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Min, E., Rong, Y, Xu, T., Bian, Y., Zhao, P., Huang, J. and Ananiadou, S., Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media, in: Proceedings of The Web Conference 2022, pages 1148–1158, 2022

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Saha, T and Ananiadou, S., Emotion-aware and Intent-controlled Empathetic Response Generation using Hierarchical Transformer Network, in: Proceedings of IJCNN at 2022 IEEE World Congress on Computational Intelligence, pages 1-8, 2022

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Bishop, J., Xie, Q. and Ananiadou, S., GenCompareSum: a hybrid unsupervised summarization method using salience, in: Proceedings of BioNLP 2022, pages 220–240, 2022

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Xie, Q., Huang, J., Saha, T and Ananiadou, S., GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization, in: Proceedings of COLING, pages 6259–6269, 2022

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Liu, B, Schlegel, V., Batista-Navarro, R. and Ananiadou, S., Incorporating Zoning Information into Argument Mining from Biomedical Literature, in: Proceedings of LREC 2022, pages 6162-6169, 2022

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Vasilakes, J., Zerva, C., Miwa, M. and Ananiadou, S., Learning Disentangled Representations of Negation and Uncertainty, in: Proceedings of ACL 2022, pages 8380–8397, 2022

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Trieu, H-L., Miwa, M. and Ananiadou, S., Named Entity Recognition for Cancer Immunology Research Using Distant Supervision, in: Proceedings of BioNLP 2022, pages 171-177, 2022

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Min, E., Rong, Y, Xu, T., Bian, Y., Zhao, P., Da, L., Lin, K., Ananiadou, S. and Huang, J., Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer, in: Proceedings of SIGIR 2022, pages 353-362, 2022

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Luo, Z., Xie, Q. and Ananiadou, S., Readability Controllable Biomedical Document Summarization, in: Findings of the Association for Computational Linguistics: EMNLP 2022, pages 4667–4680, 2022

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Schoene, A and Ananiadou, S., RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification, in: Proceedings of LREC 2022, pages 6317-6327, 2022

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Vasquez-Rodriguez, L., Nguyen, N. T. H., Shardlow, M. and Ananiadou, S., UoM&MMU at TSAR-2022 Shared Task: Prompt Learning for Lexical Simplification, in: Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), pages 218-224, 2022

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Christopoulou, F., Miwa, M. and Ananiadou, S., Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT), pages 11-26, 2021

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Cao, J., van Veen, E. M., Peek, N., Renehan, A. G and Ananiadou, S., EPICURE: Ensemble Pretrained Models for Extracting Cancer Mutations from Literature, in: Proceedings of IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), pages 461-467, 2021

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